Triple
T4937141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Genoa |
E110839
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UniGe
UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
|
E481151
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UniGe | Statement: [University of Genoa, shortName, UniGe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UniGe Context triple: [University of Genoa, shortName, UniGe]
-
A.
UniBE
UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
-
B.
UNICA
UNICA is a network of universities from the capitals of Europe that promotes academic collaboration, mobility, and shared higher education policies among its member institutions.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
UniFR
UniFR is the commonly used abbreviation for the University of Fribourg, a bilingual (French and German) public university in Fribourg, Switzerland.
-
E.
UNIL
UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UniGe Triple: [University of Genoa, shortName, UniGe]
Generated description
UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UniGe Target entity description: UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
-
A.
UniBE
UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
-
B.
UNICA
UNICA is a network of universities from the capitals of Europe that promotes academic collaboration, mobility, and shared higher education policies among its member institutions.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
UniFR
UniFR is the commonly used abbreviation for the University of Fribourg, a bilingual (French and German) public university in Fribourg, Switzerland.
-
E.
UNIL
UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77ba40f881908452455ad55221e5 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be7928b7308190b84af8aee60e3f24 |
completed | March 21, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be79a6634c8190bae1fa09eedd6829 |
completed | March 21, 2026, 10:57 a.m. |
Created at: March 20, 2026, 1:31 p.m.